Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the intensity of precision agriculture technologies adopted by cotton farmers. Particular attention is given to the...

Replaced with revised version of paper 07/15/08.

Research has evaluated the relative profitability of variable-rate (VRT) versus uniform-rate (URT) application of a single input in fields with multiple management zones. This study addresses map-based VRT decisions for multiple inputs in fields with multiple management zones. The...

Replaced with revised version of paper 10/23/07.

The unprecedented growth in crop yields and agricultural total factor productivity over the past 70 years owes much to a series of biological innovations embodied in seeds, beginning with the development of hybrid crops in the United States in the early part of the 20th century, continuing with...

Revised version of the paper submitted 2/11/2010

We estimate a bivariate probit model with sample selection to identify factors affecting adoption and abandonment of precision farming technologies for cotton farmers, using the 2009 Southern Cotton Precision Farming Survey conducted in 12 Southern states in the United States. Farmers for whom...

A notable feature of the adoption of genetically engineered (GE) corn is the rapid growth in seed prices accompanied by rapid increases in GE corn with multiple (stacked) traits, which have often seen to offer several advantages to farmers, particularly increased yields. This paper presents...

Accumulation of nitrates in hay can be toxic to cattle, and managing nitrate levels in hay production could be costly. We determine the price premium a hay producer needs to receive for cattle-safe, low-nitrate hay to continued managing nitrate levels. Profit-maximizing nitrogen rates were...